Senior AI Engineer

EPAM Systems; Bengaluru; On-site; INR 2,500,000 - 4,000,000; Full time

Job summary

EPAM Systems in Bengaluru is seeking a Senior AI Engineer to lead the development of cutting-edge AI/ML models and GenAI solutions addressing real-world business challenges. You will collaborate across teams to craft scalable AI-driven systems that deliver measurable impact.

The role requires 5–8 years IT experience with strong Python skills, hands-on ETL/data pipelines, and experience with ML/DL frameworks. Cloud familiarity (Azure/AWS/GCP) and MLOps exposure are essential.

Qualifications

• 5-8 years of general IT experience.
• 5+ years in AI engineering.
• Strong Python programming skills.
• Experience with ML/DL frameworks (TensorFlow, PyTorch, Scikit-learn).
• Experience in prompt engineering and working with LLMs.
• Cloud experience with Azure, AWS, or GCP.
• Experience with MLOps tools such as MLflow, Kubeflow, Airflow.
• English level at least B2 for effective communication.

Responsibilities

• Build and deploy scalable AI/ML models and GenAI solutions in production.
• Design and maintain robust ETL pipelines and data workflows.
• Develop LLM-based applications using modern frameworks.
• Implement prompt engineering techniques for optimized AI outputs.
• Deploy models via APIs and integrate with enterprise applications.
• Ensure end-to-end ownership, including development, deployment, monitoring, and optimization.
• Collaborate with cross-functional teams to deliver business-driven AI solutions.

Skills

Python

ETL pipelines

LLM frameworks

Prompt engineering

API development

Cloud platforms

MLOps tools

Data pipelines

English fluency

Tools

TensorFlow

PyTorch

Scikit-learn

LangChain

LlamaIndex

Hugging Face

MLflow

Kubeflow

Airflow

Databricks

PySpark

Job description

We are seeking a talented and driven Senior AI Engineer to join our team and lead the development of cutting-edge AI/ML models and GenAI solutions. This role offers an exciting opportunity to collaborate across functions and create innovative systems that solve real-world business problems.

Responsibilities

• Build and deploy scalable AI/ML models and GenAI solutions in production
• Design and maintain robust ETL pipelines and data workflows
• Develop LLM-based applications using modern frameworks
• Implement prompt engineering techniques for optimized AI outputs
• Deploy models via APIs and integrate with enterprise applications
• Ensure end-to-end ownership, including development, deployment, monitoring, and optimization
• Collaborate with cross-functional teams to deliver business-driven AI solutions

Requirements

• 5-8 years of general IT experience
• 5+ years of experience in AI Engineering
• Strong programming skills in Python
• Hands-on experience with ETL and data pipelines
• Experience with ML/DL frameworks: TensorFlow, PyTorch, Scikit-learn
• Experience in prompt engineering and working with LLMs
• Familiarity with LLM frameworks: LangChain, LlamaIndex, Hugging Face
• Cloud experience working with Azure, AWS, or GCP
• Experience with MLOps tools such as MLflow, Kubeflow, and Airflow
• Strong experience in API development and model deployment
• English level of minimum B2 (Upper-Intermediate) for effective communication

Nice to have

• Experience with RAG architectures and vector databases
• Knowledge of real-time or streaming data pipelines
• Exposure to scalable system design and microservices architecture
• Familiarity with Databricks and PySpark
• Experience with cloud data solutions and ETL pipelines